Guide

Supabase RLS Best Practices: Production Patterns

Makerkit · makerkit.dev

Once basics work, these are the multi-tenant patterns that keep working at scale.

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The question it answers

  1. How do I keep customer data safe in an AI-built internal tool?

Read with it

  1. The most credible security team in cloud lays out exactly which misconfigurations recur. wiz.io Article Wiz Research Finds Risks in 20% of Vibe-Coded Apps Wiz Research
  2. 5,600 apps scanned, 2,000+ vulnerabilities and 400+ exposed secrets; the scale of the problem in numbers. escape.tech Article Methodology: 2k+ Vulnerabilities in Vibe-Coded Apps Escape
  3. The single most actionable checklist: proxy API calls, store secrets in edge functions, lock down RLS. vietanh.dev Guide Securing Vibe-Coded Apps: A Practical Guide to Not Getting Hacked Viet Anh
  4. The platform's own hardening guidance, worth reading because its defaults caused the incidents. lovable.dev Guide Lovable: Secure Vibe Coding Lovable
  5. The mainstream report on 380,000 scanned apps with 5,000 leaking sensitive data. axios.com Article Thousands of AI-built apps exposed sensitive corporate and personal data Axios
  6. A clear technical autopsy of the anon-key-plus-no-RLS pattern behind the leaks. superblocks.com Article Lovable Vulnerability Explained: How 170+ Apps Were Exposed Superblocks
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